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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Gamma Function Versus Maxwell-Boltzmann Distribution

Authors: Ruggeri, Francesco R.;

Gamma Function Versus Maxwell-Boltzmann Distribution

Abstract

In (1), a gamma function (e/T) power (k-1) exp(-e/T) is proposed instead of the usual Maxwell-Boltzmann distribution exp(-e/T). It is argued that there is not enough experimental data which verifies the MB distribution and so the gamma function may be studied. Here we consider physical implications of the gamma function. We first note that a main idea of the MB distribution is that exp(-e1/T)exp(-e2/T) = exp(-e3/T)exp(-e4/T) for an elastic collision e1+e2=e3+e4. We note that gamma function retains this property, but only for energies near kT. We also note that given the integral de sqrt(e) exp(-e/T), introducing an (e/T) power (k-1) (as in (1)) does not change the form of the rising integral from e/T=0. It does, however, change the fall of the distribution, making it less steep as we show. Finally, we consider obtaining the gamma function distribution from an extremization of entropy and show that one no longer uses total energy sum over i ei p(ei)=Etotal as the constraint (which is a physical a priori constraint), but rather sum over i p(ei) { (k-1) ln(ei/T) - ei/T) } = number. We show that one may also consider reaction balance by replacing p(ei) with p(ei) / (ei/T) power (k-1). In other words, two body scattering is more complicated under the gamma function scenario except for ei/T values near 1.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green